title: Fast fitting to low resolution density maps: elucidating large-scale motions of the ribosome.
abstract: Determining the conformational rearrangements of large macromolecules is challenging experimentally and computationally. Case in point is the ribosome; it has been observed by high-resolution crystallography in several states, but many others are known only from low-resolution methods including cryo-electron microscopy. Combining these data into dynamical trajectories that may aid understanding of its largest-scale conformational changes has so far remained out of reach of computational methods. Most existing methods either model all atoms explicitly, resulting in often prohibitive cost, or use approximations that lose interesting structural and dynamical detail. In this work, I introduce Internal Coordinate Flexible Fitting, which uses full atomic forces and flexibility in limited regions of a model, capturing extensive conformational rearrangements at low cost. I use it to turn multiple low-resolution density maps, crystallographic structures and biochemical information into unified all-atoms trajectories of ribosomal translocation. Internal Coordinate Flexible Fitting is three orders of magnitude faster than the most comparable existing method.
authors.affiliation: Computational and Systems Biology Program, Department of Cell and Molecular Biology, Uppsala University, BMC Box 596, 75321 Uppsala, Sweden.
authors.forename: Samuel Coulbourn
authors.initials: SC
authors.lastname: Flores
mesh_terms: D019295:Computational Biology / Q000379:methods; D008958:Models, Molecular; D009038:Motion; D012335:RNA, Ribosomal / Q000737:chemistry; D012343:RNA, Transfer / Q000737:chemistry; D012270:Ribosomes / Q000737:chemistry*
chemical_list: D012335:RNA, Ribosomal; D012343:RNA, Transfer